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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    Explanations

    adjectives or phrases related to urgent or critical situations

    oai_token-act-pair · gpt-3.5-turbo

    the term "desperate" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    recomm
    -0.78
    oak
    -0.76
    rees
    -0.71
    adish
    -0.71
    icipated
    -0.70
    sama
    -0.70
    roma
    -0.70
    inctions
    -0.68
    */(
    -0.68
    posted
    -0.67
    POSITIVE LOGITS
     desperate
    0.99
     desperation
    0.92
     conflic
    0.92
     earthqu
    0.87
     desper
    0.86
     millenn
    0.86
     pleading
    0.81
     unbeliev
    0.79
     plea
    0.79
     migrants
    0.76
    Activations Density 0.010%

    No Known Activations